Device, and System for Signal Decomposition, Tracking, Analysis, and Reconstruction

1. A non-invasive device for monitoring physiological conditions, the device comprising: a set of electrodes (leads) is disposed around, on, or within a human body in a manner to produce a desired differential voltage across them representing the voltage gradient generated by the electrical properties of the cardiac tissue; and a sensing device connected to the set of electrodes which is either implanted into the human body or resides external to the human body, that comprising a microprocessor unit which determines whether to activate an alarm that the monitored person's health is at risk; wherein microprocessor unit performing a linear prediction (LP) analysis on the digitized signal to obtain the coefficients of the synthesis filter of the CELP model for the digitalized signal using the autocorrelation approach, the autocorrelation of windowed quasi-periodic waveform is converted to the LP coefficients using the Levinson-Durbin algorithm; wherein the LP coefficients of the synthesis filter through a Haar discreet wavelet transformation is converted to the Line Spectral Frequencies (LSFs) form data associated with shot-term prediction and excitation; and wherein microprocessor unit reduces the size of the information containing in the plurality of data structures based on Chebyshev polynomial evaluation method.

2. The device of claim 1 , wherein the n-level filter bank gets the LP coefficients decomposed into low and high frequencies, due to the process of decomposition, the number of the LP coefficients must be a multiple of 2n where n is the number of levels.

3. The device of claim 1 , wherein the microprocessor unit executes a classification algorithm in order to determine evaluates the clinical and biochemical indicators in blood of a mammal, especially a human.

4. A non-invasive system for monitoring physiological conditions, the system comprising: the device of claim 1 ; wherein the microprocessor unit is not mounted to the sensing device.

5. The system of claim 4 , wherein data related to quasi-periodic waveforms (Data) are stored in a data base of data center, this data center as input for a computer program utilizing the above-described method, data structure, and/or program contained on a tablet device, and executed by a central processing unit.

6. The system of claim 4 , wherein a Human-Computer Interface (HCl) by which an operator (e.g., a physician, technician, or patient) may interact with the MPU and which may include a visual display, auditory display, keyboard, touch screen, haptic device, or other means of interaction.